Evidence map›Paper›PMID 36140838›Full record

ArticleGenes2022

Blood Transcriptome Analysis of Beef Cow with Different Parity Revealed Candidate Genes and Gene Networks Regulating the Postpartum Diseases.

Yanda Yang, Chencheng Chang, Batu Baiyin, Zaixia Liu, Lili Guo, Le Zhou, Bin Liu, Caixia Shi, Wenguang Zhang

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Genes, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.3field-weighted citation impact, top 18% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 7 citations in OpenAlex.

  1. Observational
  2. Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 1 institution in 1 country.

Yanda YangCollege of Animal Science, Inner Mongolia Agricultural University, Hohhot 010010, China.
Chencheng ChangCollege of Animal Science, Inner Mongolia Agricultural University, Hohhot 010010, China.
Batu BaiyinCollege of Animal Science, Inner Mongolia Agricultural University, Hohhot 010010, China.
Zaixia LiuCollege of Animal Science, Inner Mongolia Agricultural University, Hohhot 010010, China.
Lili GuoCollege of Animal Science, Inner Mongolia Agricultural University, Hohhot 010010, China.
Le ZhouCollege of Animal Science, Inner Mongolia Agricultural University, Hohhot 010010, China.
Bin LiuInner Mongolia Mongol BioNew Technology Co., Ltd., Hohhot 010010, China.
Caixia ShiCollege of Animal Science, Inner Mongolia Agricultural University, Hohhot 010010, China.
Wenguang ZhangCollege of Animal Science, Inner Mongolia Agricultural University, Hohhot 010010, China.
Inner Mongolia Agricultural University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Maternal parity is an important physiological factor influencing beef cow reproductive performance. However, there are few studies on the influence of different calving periods on early growth and postpartum diseases. Here, we conducted blood transcriptomic analysis on cows of different parities for gene discovery. We used Short Time Series Expression Miner (STEM) analysis to determine gene expression levels in cows of various parities and divided multiple parities into three main periods (nulliparous, primiparous, and multiparous) for subsequent analysis. Furthermore, the top 15,000 genes with the lowest median absolute deviation (MAD) were used to build a co-expression network using weighted correlation network analysis (WGCNA), and six independent modules were identified. Combing with Exon Wide Selection Signature (EWSS) and protein-protein interaction (PPI) analysis revealed that TPCN2, KIF22, MICAL3, RUNX2, PDE4A, TESK2, GPM6A, POLR1A, and KLHL6 involved in early growth and postpartum diseases. The GO and KEGG enrichment showed that the Parathyroid hormone synthesis, secretion, and action pathway and stem cell differentiation function-related pathways were enriched. Collectively, our study revealed candidate genes and gene networks regulating the early growth and postpartum diseases and provided new insights into the potential mechanism of reproduction advantages of different parity selection.

Indexed as

LactationPuerperal DisordersAnimalsCattleCore Binding Factor Alpha 1 SubunitDNA-Binding ProteinsFemaleGene Expression ProfilingGene Regulatory NetworksHumansIntracellular Signaling Peptides and ProteinsKinesinsParathyroid HormoneParityPostpartum PeriodPregnancyCore Binding Factor Alpha 1 SubunitDNA-Binding ProteinsIntracellular Signaling Peptides and ProteinsKIF22 protein, humanKinesinsParathyroid HormoneProtein Serine-Threonine KinasesTESK2 protein, humanJapanese black cattlematernal paritypostpartum diseasetranscriptome

Identifiers

PMID36140838
PMCPMC9498831
OpenAlexW4296460565

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.